instadeepai / gtc-course-2020
Tutorial on Multi-Agent Reinforcement for Train Scheduling
☆11Updated 4 years ago
Alternatives and similar repositories for gtc-course-2020:
Users that are interested in gtc-course-2020 are comparing it to the libraries listed below
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 4 years ago
- Reinforcement learning algorithms in RLlib☆59Updated 11 months ago
- Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)☆43Updated 2 years ago
- Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583☆19Updated 5 years ago
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆43Updated 3 years ago
- Map-Elites based on Evolution Strategies☆31Updated 3 years ago
- A collection of RL algorithms written in JAX.☆97Updated 2 years ago
- PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)☆33Updated 2 years ago
- A simple Gridworld environment for Open AI gym☆25Updated 6 years ago
- Toy environment set for multi-agent reinforcement learning and more☆38Updated 4 months ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinf…☆11Updated 3 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 4 years ago
- Revisiting Rainbow☆74Updated 3 years ago
- A first bare bones paralleled implementation of Go Explore as described by the Uber Engineering blog post☆46Updated 6 years ago
- Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).☆89Updated 5 years ago
- RUDDER: Return Decomposition for Delayed Rewards☆47Updated 4 years ago
- This repository contains the code used in the paper Evaluating the Performance of Reinformcent Learning Algorithms☆27Updated 3 years ago
- ☆86Updated 3 years ago
- Pytorch starter code for UC Berkeley's cs285 assignments☆71Updated 3 years ago
- OpenAi's gym environment wrapper to vectorize them with Ray☆22Updated last year
- Tabular methods for reinforcement learning☆36Updated 4 years ago
- Reinforcement learning library in JAX.☆100Updated last year
- State Space Models for Reinforcement Learning in Tensorflow☆19Updated 6 years ago
- Deep reinforcement learning implementation that trains AIs for the CodeCraft real-time strategy game.☆21Updated last year
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 5 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆35Updated last month
- Bayesian Reward Shaping Framework for Deep Reinforcement Learning☆23Updated 6 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago